The application discloses a method for accelerating arbitrary precision
sparse matrix multiplication and addition operation based on a
tensor core, which is in combination with
deep learning and the program characteristics of
parallel processing of sparse matrices, and is in combination of an arbitrary precision
sparse matrix multiplication and addition operation operator and a
parallel computing acceleration device, decomposes a
general matrix into a
sparse matrix of a set format, blocks the sparse matrix and specifies a corresponding
parallel computing hardware unit for the sparse matrix, uses
shared memory to reduce memory conflict and access
delay, calls a high-level language API function
library to execute the loading, calculation and storage process of the calculation data, and finally reduces the output data of the function, so that the final result of the arbitrary precision
sparse matrix multiplication and addition operation on the
parallel computing acceleration device is obtained. The application can fully utilize the parallel computing resources such as the
tensor core on the A100, effectively reduce the
program calculation amount and communication overhead, and greatly improve the program running performance.